streamlit-folium 0.26.1

Geemap is a Python package designed for interactive mapping with Google Earth Engine (GEE). It provides an intuitive interface for manipulating, analyzing, and visualizing geospatial big data in a Jupyter-based environment. Geemap supports various Python libraries and offers advanced features like data conversion, interactive plotting, and image classification. It also allows developers to export Earth Engine maps as HTML files and PNG images, making it a comprehensive solution for geospatial data handling.

leafmap is a powerful Python package that brings interactive mapping and geospatial analysis to your fingertips. Born from geemap, leafmap is designed to serve non-Google Earth Engine users, offering a platform for analyzing and visualizing geospatial data with minimal coding. Whether you're working in Google Colab, Jupyter Notebook, or JupyterLab, leafmap makes geospatial data analysis accessible and straightforward. It integrates with folium, ipyleaflet, whiteboxtools, and ipywidgets, providing a rich set of tools for interactive mapping and geospatial analysis.

Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap

This is a simple jupyter widget for kepler.gl, an advanced geospatial visualization tool, to render large-scale interactive maps.

Streamlit component implementation of ag-grid

Real-time video and audio processing on Streamlit

A CNN model visualizer

Manage, Downsample, Mesh, Skeletonize, and Transform Neuroglancer Datasets

A Python library to easily visualize geospatial data of Morocco.